GSM8K Dataset Papers With Code

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Descrição

GSM8K is a dataset of 8.5K high quality linguistically diverse grade school math word problems created by human problem writers. The dataset is segmented into 7.5K training problems and 1K test problems. These problems take between 2 and 8 steps to solve, and solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the final answer. A bright middle school student should be able to solve every problem. It can be used for multi-step mathematical reasoning.
GSM8K Dataset  Papers With Code
Ricky di LinkedIn: GitHub - bigscience-workshop/xmtf: Crosslingual Generalization through…
GSM8K Dataset  Papers With Code
PDF) Discriminator-Guided Multi-step Reasoning with Language Models
GSM8K Dataset  Papers With Code
GitHub - Raibows/Learn-to-Reason: Code for Democratizing Reasoning Ability: Tailored Learning from Large Language Model, EMNLP 2023
GSM8K Dataset  Papers With Code
Paper page - Llemma: An Open Language Model For Mathematics
GSM8K Dataset  Papers With Code
Papers with Code
GSM8K Dataset  Papers With Code
2312.09241] TinyGSM: achieving >80% on GSM8k with small language models
GSM8K Dataset  Papers With Code
HumanEval Dataset
GSM8K Dataset  Papers With Code
Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic
GSM8K Dataset  Papers With Code
Minerva: Solving Quantitative Reasoning Problems with Language Models – Google Research Blog
GSM8K Dataset  Papers With Code
TensorFlow Datasets
GSM8K Dataset  Papers With Code
Paper page - MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
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